Technical Software Engineering Manager (Machine Learning)

Company Description

Cricut® makes smart cutting machines that work with an easy-to-use app, an ever-growing collection of materials, and crafting essentials to help you design and personalize almost anything — custom cards, unique apparel, everyday items, and so much more.

Let’s make.

Overview

We believe everyone is born creative. We’re a diverse tapestry of thinkers, dreamers, givers, DIYers, handi-workers, artisans, and forever and always architects of things.

At Cricut, we place the power of handmade into the hands of all. We give you beautiful, easy-to-master tools so you can make something unique, remarkable, perfect. We surround you with ideas, community, inspiration, and encouragement to take your creativity further than you ever imagined. And as a community, we celebrate the exhilarating act of making every single day.

So, make that handcrafted card that feels like a hug. Design a shirt for fun, for family, or for a full-blown business. Craft with a passion or for a purpose. Make something big and bold, itsy-bitsy, amazingly ambitious, or just plain silly. Whatever you make, just make your heart out. Because here’s the remarkable truth: When we all make together, we make all things possible.

Let’s make.

Pay range:

Technical Software Engineering Manager (Machine Learning Engineer): $141,350-$202,400 (USD)

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Base salary is just one part of your total rewards package at Cricut. You may be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses dependent on position. You will receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, HSA with company contributions, FSA, Employee Assistance Program, paid short-term and long-term disability insurance, life insurance covered at 1X annual salary, paid parental leave, tuition reimbursement, LifeStyle account, and discounts and perks. You receive 20 days of paid vacation, 3 sick days, and will be eligible for 12 or more paid holidays per year. 

***Please note: This position is based in our office located in South Jordan, UT. If you are residing in Utah, you will be expected to work from our South Jordan office. However, if you are located outside of Utah, this position is open to remote work.

Job Description

We are looking for an experienced Engineering Manager to join our Software Engineering team and help shape the future of Machine Learning at Cricut. You will work collaboratively with a diverse set of teams and backgrounds to create new machine learning algorithms and systems that power the features our members use everyday! You’ll contribute to building out high-scale services, with emphasis on performance and optimization, using the latest Machine Learning tools and techniques. If you're the type of engineer who likes to be hands-on and has proven experience collaborating with team members to achieve a common goal, we want to hear from you!  

What You’ll Do:  

• Lead research and development in the following areas 

• Image Generation AI 

• Recommender Systems 

• Natural Language Processing using LLMs 

• Semantic Search 

• ML Model Finetuning 

• Background Removal 

• Clusterization 

• Quickly develop proof of concepts to prove out ideas and concepts 

• Develop and deploy highly scalable and performant machine learning models 

• Lead discussions on architectural best practices 

• Evangelize engineering principles internally and externally   

Qualifications

• BS/MS in computer science, ML, NLP or equivalent experience  

• 10+ years professional experience in Software Engineering 

• 5+ years working experience building out large-scale ML-driven projects 

• Mastery in Python or ML Frameworks such as Pytorch, Tensorflow, and MLFlow 

• Passionate about staying on top of emerging technologies and research in the machine learning space 

• Experience in related fields such as recommendation systems and natural language processing using LLMs is a bonus 

• Knowledge of agile quality and testing methods preferred (BDD, TDD, Unit Testing and Automation)   

• Excited and experienced working with a team to achieve a common goal  

• Actively listen to and support teammates, and embrace different ways of thinking  

Additional Information

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